{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>District code</th>\n",
       "      <th>District name</th>\n",
       "      <th>Category</th>\n",
       "      <th>Student group</th>\n",
       "      <th>2021-2022 student count - year to date</th>\n",
       "      <th>2021-2022 attendance rate - year to date</th>\n",
       "      <th>2020-2021 student count</th>\n",
       "      <th>2020-2021 attendance rate</th>\n",
       "      <th>2019-2020 student count</th>\n",
       "      <th>2019-2020 attendance rate</th>\n",
       "      <th>Reporting period</th>\n",
       "      <th>Date update</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>00000CT</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>NaN</td>\n",
       "      <td>All Students</td>\n",
       "      <td>500285</td>\n",
       "      <td>0.9169</td>\n",
       "      <td>496092.0</td>\n",
       "      <td>0.9294</td>\n",
       "      <td>508346.0</td>\n",
       "      <td>0.9479</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>00000CT</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>Homelessness</td>\n",
       "      <td>Students Experiencing Homelessness</td>\n",
       "      <td>1814</td>\n",
       "      <td>0.8348</td>\n",
       "      <td>1735.0</td>\n",
       "      <td>0.8155</td>\n",
       "      <td>3916.0</td>\n",
       "      <td>0.8884</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>00000CT</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>Students With Disabilities</td>\n",
       "      <td>Students With Disabilities</td>\n",
       "      <td>78417</td>\n",
       "      <td>0.8899</td>\n",
       "      <td>76487.0</td>\n",
       "      <td>0.8946</td>\n",
       "      <td>80365.0</td>\n",
       "      <td>0.9277</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>00000CT</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>Free/Reduced Lunch</td>\n",
       "      <td>Free Meal Eligible</td>\n",
       "      <td>168984</td>\n",
       "      <td>0.8851</td>\n",
       "      <td>176225.0</td>\n",
       "      <td>0.8861</td>\n",
       "      <td>193706.0</td>\n",
       "      <td>0.9314</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>00000CT</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>Free/Reduced Lunch</td>\n",
       "      <td>Reduced Price Meal Eligible</td>\n",
       "      <td>29905</td>\n",
       "      <td>0.9184</td>\n",
       "      <td>30886.0</td>\n",
       "      <td>0.9299</td>\n",
       "      <td>27507.0</td>\n",
       "      <td>0.9518</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  District code District name                    Category  \\\n",
       "0       00000CT   Connecticut                         NaN   \n",
       "1       00000CT   Connecticut                Homelessness   \n",
       "2       00000CT   Connecticut  Students With Disabilities   \n",
       "3       00000CT   Connecticut          Free/Reduced Lunch   \n",
       "4       00000CT   Connecticut          Free/Reduced Lunch   \n",
       "\n",
       "                        Student group  2021-2022 student count - year to date  \\\n",
       "0                        All Students                                  500285   \n",
       "1  Students Experiencing Homelessness                                    1814   \n",
       "2          Students With Disabilities                                   78417   \n",
       "3                  Free Meal Eligible                                  168984   \n",
       "4         Reduced Price Meal Eligible                                   29905   \n",
       "\n",
       "   2021-2022 attendance rate - year to date  2020-2021 student count  \\\n",
       "0                                    0.9169                 496092.0   \n",
       "1                                    0.8348                   1735.0   \n",
       "2                                    0.8899                  76487.0   \n",
       "3                                    0.8851                 176225.0   \n",
       "4                                    0.9184                  30886.0   \n",
       "\n",
       "   2020-2021 attendance rate  2019-2020 student count  \\\n",
       "0                     0.9294                 508346.0   \n",
       "1                     0.8155                   3916.0   \n",
       "2                     0.8946                  80365.0   \n",
       "3                     0.8861                 193706.0   \n",
       "4                     0.9299                  27507.0   \n",
       "\n",
       "   2019-2020 attendance rate Reporting period Date update  \n",
       "0                     0.9479           Jun-22  07/22/2022  \n",
       "1                     0.8884           Jun-22  07/22/2022  \n",
       "2                     0.9277           Jun-22  07/22/2022  \n",
       "3                     0.9314           Jun-22  07/22/2022  \n",
       "4                     0.9518           Jun-22  07/22/2022  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv('./School_Attendance_by_Student_Group.csv')\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>District code</th>\n",
       "      <th>District name</th>\n",
       "      <th>Category</th>\n",
       "      <th>Student group</th>\n",
       "      <th>2021-2022 student count - year to date</th>\n",
       "      <th>2021-2022 attendance rate - year to date</th>\n",
       "      <th>2020-2021 student count</th>\n",
       "      <th>2020-2021 attendance rate</th>\n",
       "      <th>2019-2020 student count</th>\n",
       "      <th>2019-2020 attendance rate</th>\n",
       "      <th>Reporting period</th>\n",
       "      <th>Date update</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>00000CT</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>Homelessness</td>\n",
       "      <td>Students Experiencing Homelessness</td>\n",
       "      <td>1814</td>\n",
       "      <td>0.8348</td>\n",
       "      <td>1735.0</td>\n",
       "      <td>0.8155</td>\n",
       "      <td>3916.0</td>\n",
       "      <td>0.8884</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>00000CT</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>Students With Disabilities</td>\n",
       "      <td>Students With Disabilities</td>\n",
       "      <td>78417</td>\n",
       "      <td>0.8899</td>\n",
       "      <td>76487.0</td>\n",
       "      <td>0.8946</td>\n",
       "      <td>80365.0</td>\n",
       "      <td>0.9277</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>00000CT</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>Free/Reduced Lunch</td>\n",
       "      <td>Free Meal Eligible</td>\n",
       "      <td>168984</td>\n",
       "      <td>0.8851</td>\n",
       "      <td>176225.0</td>\n",
       "      <td>0.8861</td>\n",
       "      <td>193706.0</td>\n",
       "      <td>0.9314</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>00000CT</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>Free/Reduced Lunch</td>\n",
       "      <td>Reduced Price Meal Eligible</td>\n",
       "      <td>29905</td>\n",
       "      <td>0.9184</td>\n",
       "      <td>30886.0</td>\n",
       "      <td>0.9299</td>\n",
       "      <td>27507.0</td>\n",
       "      <td>0.9518</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>00000CT</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>Free/Reduced Lunch</td>\n",
       "      <td>Free/Reduced Price Meal Eligible</td>\n",
       "      <td>198889</td>\n",
       "      <td>0.8901</td>\n",
       "      <td>207111.0</td>\n",
       "      <td>0.8927</td>\n",
       "      <td>221213.0</td>\n",
       "      <td>0.9340</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>00000CT</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>English Learners</td>\n",
       "      <td>English Learners</td>\n",
       "      <td>43571</td>\n",
       "      <td>0.8976</td>\n",
       "      <td>40619.0</td>\n",
       "      <td>0.8948</td>\n",
       "      <td>45413.0</td>\n",
       "      <td>0.9389</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>00000CT</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>Race/Ethnicity</td>\n",
       "      <td>All other races</td>\n",
       "      <td>48700</td>\n",
       "      <td>0.9314</td>\n",
       "      <td>47339.0</td>\n",
       "      <td>0.9483</td>\n",
       "      <td>47260.0</td>\n",
       "      <td>0.9559</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>00000CT</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>Race/Ethnicity</td>\n",
       "      <td>Black or African American</td>\n",
       "      <td>63099</td>\n",
       "      <td>0.8941</td>\n",
       "      <td>62267.0</td>\n",
       "      <td>0.8931</td>\n",
       "      <td>64200.0</td>\n",
       "      <td>0.9401</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>00000CT</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>Race/Ethnicity</td>\n",
       "      <td>Hispanic/Latino of any race</td>\n",
       "      <td>146298</td>\n",
       "      <td>0.8935</td>\n",
       "      <td>138260.0</td>\n",
       "      <td>0.8975</td>\n",
       "      <td>136953.0</td>\n",
       "      <td>0.9362</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>00000CT</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>Race/Ethnicity</td>\n",
       "      <td>White</td>\n",
       "      <td>242188</td>\n",
       "      <td>0.9338</td>\n",
       "      <td>248226.0</td>\n",
       "      <td>0.9523</td>\n",
       "      <td>259933.0</td>\n",
       "      <td>0.9543</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>00000CT</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>High Needs</td>\n",
       "      <td>Students Without High Needs</td>\n",
       "      <td>241106</td>\n",
       "      <td>0.9398</td>\n",
       "      <td>236395.0</td>\n",
       "      <td>0.9616</td>\n",
       "      <td>241610.0</td>\n",
       "      <td>0.9606</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>00000CT</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>High Needs</td>\n",
       "      <td>Students With High Needs</td>\n",
       "      <td>248239</td>\n",
       "      <td>0.8954</td>\n",
       "      <td>251220.0</td>\n",
       "      <td>0.8996</td>\n",
       "      <td>266736.0</td>\n",
       "      <td>0.9361</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>10011</td>\n",
       "      <td>Andover School District</td>\n",
       "      <td>Free/Reduced Lunch</td>\n",
       "      <td>Free/Reduced Price Meal Eligible</td>\n",
       "      <td>30</td>\n",
       "      <td>0.9274</td>\n",
       "      <td>31.0</td>\n",
       "      <td>0.9414</td>\n",
       "      <td>37.0</td>\n",
       "      <td>0.9401</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>10011</td>\n",
       "      <td>Andover School District</td>\n",
       "      <td>Race/Ethnicity</td>\n",
       "      <td>White</td>\n",
       "      <td>134</td>\n",
       "      <td>0.9365</td>\n",
       "      <td>115.0</td>\n",
       "      <td>0.9699</td>\n",
       "      <td>128.0</td>\n",
       "      <td>0.9479</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>10011</td>\n",
       "      <td>Andover School District</td>\n",
       "      <td>High Needs</td>\n",
       "      <td>Students Without High Needs</td>\n",
       "      <td>113</td>\n",
       "      <td>0.9410</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.9752</td>\n",
       "      <td>108.0</td>\n",
       "      <td>0.9552</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>10011</td>\n",
       "      <td>Andover School District</td>\n",
       "      <td>High Needs</td>\n",
       "      <td>Students With High Needs</td>\n",
       "      <td>48</td>\n",
       "      <td>0.9328</td>\n",
       "      <td>44.0</td>\n",
       "      <td>0.9513</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.9389</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20011</td>\n",
       "      <td>Ansonia School District</td>\n",
       "      <td>Students With Disabilities</td>\n",
       "      <td>Students With Disabilities</td>\n",
       "      <td>369</td>\n",
       "      <td>0.8897</td>\n",
       "      <td>394.0</td>\n",
       "      <td>0.8692</td>\n",
       "      <td>411.0</td>\n",
       "      <td>0.9337</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>20011</td>\n",
       "      <td>Ansonia School District</td>\n",
       "      <td>Free/Reduced Lunch</td>\n",
       "      <td>Free Meal Eligible</td>\n",
       "      <td>1192</td>\n",
       "      <td>0.8893</td>\n",
       "      <td>1217.0</td>\n",
       "      <td>0.8657</td>\n",
       "      <td>1312.0</td>\n",
       "      <td>0.9312</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>20011</td>\n",
       "      <td>Ansonia School District</td>\n",
       "      <td>Free/Reduced Lunch</td>\n",
       "      <td>Reduced Price Meal Eligible</td>\n",
       "      <td>225</td>\n",
       "      <td>0.9282</td>\n",
       "      <td>213.0</td>\n",
       "      <td>0.9234</td>\n",
       "      <td>147.0</td>\n",
       "      <td>0.9563</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>20011</td>\n",
       "      <td>Ansonia School District</td>\n",
       "      <td>Free/Reduced Lunch</td>\n",
       "      <td>Free/Reduced Price Meal Eligible</td>\n",
       "      <td>1417</td>\n",
       "      <td>0.8953</td>\n",
       "      <td>1430.0</td>\n",
       "      <td>0.8743</td>\n",
       "      <td>1459.0</td>\n",
       "      <td>0.9338</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>20011</td>\n",
       "      <td>Ansonia School District</td>\n",
       "      <td>English Learners</td>\n",
       "      <td>English Learners</td>\n",
       "      <td>122</td>\n",
       "      <td>0.9180</td>\n",
       "      <td>119.0</td>\n",
       "      <td>0.8951</td>\n",
       "      <td>129.0</td>\n",
       "      <td>0.9506</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>20011</td>\n",
       "      <td>Ansonia School District</td>\n",
       "      <td>Race/Ethnicity</td>\n",
       "      <td>All other races</td>\n",
       "      <td>149</td>\n",
       "      <td>0.9191</td>\n",
       "      <td>166.0</td>\n",
       "      <td>0.9105</td>\n",
       "      <td>170.0</td>\n",
       "      <td>0.9451</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>20011</td>\n",
       "      <td>Ansonia School District</td>\n",
       "      <td>Race/Ethnicity</td>\n",
       "      <td>Black or African American</td>\n",
       "      <td>434</td>\n",
       "      <td>0.8987</td>\n",
       "      <td>421.0</td>\n",
       "      <td>0.8693</td>\n",
       "      <td>434.0</td>\n",
       "      <td>0.9414</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>20011</td>\n",
       "      <td>Ansonia School District</td>\n",
       "      <td>Race/Ethnicity</td>\n",
       "      <td>Hispanic/Latino of any race</td>\n",
       "      <td>987</td>\n",
       "      <td>0.8994</td>\n",
       "      <td>946.0</td>\n",
       "      <td>0.8798</td>\n",
       "      <td>923.0</td>\n",
       "      <td>0.9366</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>20011</td>\n",
       "      <td>Ansonia School District</td>\n",
       "      <td>Race/Ethnicity</td>\n",
       "      <td>White</td>\n",
       "      <td>569</td>\n",
       "      <td>0.9136</td>\n",
       "      <td>620.0</td>\n",
       "      <td>0.9217</td>\n",
       "      <td>658.0</td>\n",
       "      <td>0.9468</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>20011</td>\n",
       "      <td>Ansonia School District</td>\n",
       "      <td>High Needs</td>\n",
       "      <td>Students Without High Needs</td>\n",
       "      <td>528</td>\n",
       "      <td>0.9287</td>\n",
       "      <td>551.0</td>\n",
       "      <td>0.9389</td>\n",
       "      <td>587.0</td>\n",
       "      <td>0.9568</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>20011</td>\n",
       "      <td>Ansonia School District</td>\n",
       "      <td>High Needs</td>\n",
       "      <td>Students With High Needs</td>\n",
       "      <td>1545</td>\n",
       "      <td>0.8968</td>\n",
       "      <td>1563.0</td>\n",
       "      <td>0.8764</td>\n",
       "      <td>1598.0</td>\n",
       "      <td>0.9355</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>30011</td>\n",
       "      <td>Ashford School District</td>\n",
       "      <td>Students With Disabilities</td>\n",
       "      <td>Students With Disabilities</td>\n",
       "      <td>46</td>\n",
       "      <td>0.9253</td>\n",
       "      <td>47.0</td>\n",
       "      <td>0.9573</td>\n",
       "      <td>56.0</td>\n",
       "      <td>0.9468</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>30011</td>\n",
       "      <td>Ashford School District</td>\n",
       "      <td>Free/Reduced Lunch</td>\n",
       "      <td>Free/Reduced Price Meal Eligible</td>\n",
       "      <td>113</td>\n",
       "      <td>0.9168</td>\n",
       "      <td>126.0</td>\n",
       "      <td>0.9312</td>\n",
       "      <td>130.0</td>\n",
       "      <td>0.9477</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>30011</td>\n",
       "      <td>Ashford School District</td>\n",
       "      <td>Race/Ethnicity</td>\n",
       "      <td>Hispanic/Latino of any race</td>\n",
       "      <td>31</td>\n",
       "      <td>0.9133</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0.9408</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.9353</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1984</th>\n",
       "      <td>9000016</td>\n",
       "      <td>Connecticut Technical Education and Career System</td>\n",
       "      <td>Race/Ethnicity</td>\n",
       "      <td>All other races</td>\n",
       "      <td>703</td>\n",
       "      <td>0.8954</td>\n",
       "      <td>624.0</td>\n",
       "      <td>0.9307</td>\n",
       "      <td>621.0</td>\n",
       "      <td>0.9466</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1985</th>\n",
       "      <td>9000016</td>\n",
       "      <td>Connecticut Technical Education and Career System</td>\n",
       "      <td>Race/Ethnicity</td>\n",
       "      <td>Black or African American</td>\n",
       "      <td>1308</td>\n",
       "      <td>0.8906</td>\n",
       "      <td>1298.0</td>\n",
       "      <td>0.9192</td>\n",
       "      <td>1267.0</td>\n",
       "      <td>0.9494</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1986</th>\n",
       "      <td>9000016</td>\n",
       "      <td>Connecticut Technical Education and Career System</td>\n",
       "      <td>Race/Ethnicity</td>\n",
       "      <td>Hispanic/Latino of any race</td>\n",
       "      <td>4674</td>\n",
       "      <td>0.8928</td>\n",
       "      <td>4551.0</td>\n",
       "      <td>0.9246</td>\n",
       "      <td>4383.0</td>\n",
       "      <td>0.9470</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1987</th>\n",
       "      <td>9000016</td>\n",
       "      <td>Connecticut Technical Education and Career System</td>\n",
       "      <td>Race/Ethnicity</td>\n",
       "      <td>White</td>\n",
       "      <td>4453</td>\n",
       "      <td>0.9074</td>\n",
       "      <td>4617.0</td>\n",
       "      <td>0.9432</td>\n",
       "      <td>4537.0</td>\n",
       "      <td>0.9489</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1988</th>\n",
       "      <td>9000016</td>\n",
       "      <td>Connecticut Technical Education and Career System</td>\n",
       "      <td>High Needs</td>\n",
       "      <td>Students Without High Needs</td>\n",
       "      <td>5001</td>\n",
       "      <td>0.9038</td>\n",
       "      <td>4150.0</td>\n",
       "      <td>0.9518</td>\n",
       "      <td>4056.0</td>\n",
       "      <td>0.9553</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1989</th>\n",
       "      <td>9000016</td>\n",
       "      <td>Connecticut Technical Education and Career System</td>\n",
       "      <td>High Needs</td>\n",
       "      <td>Students With High Needs</td>\n",
       "      <td>6130</td>\n",
       "      <td>0.8943</td>\n",
       "      <td>6934.0</td>\n",
       "      <td>0.9202</td>\n",
       "      <td>6752.0</td>\n",
       "      <td>0.9437</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1991</th>\n",
       "      <td>9010022</td>\n",
       "      <td>Norwich Free Academy District</td>\n",
       "      <td>Students With Disabilities</td>\n",
       "      <td>Students With Disabilities</td>\n",
       "      <td>256</td>\n",
       "      <td>0.8690</td>\n",
       "      <td>245.0</td>\n",
       "      <td>0.8339</td>\n",
       "      <td>242.0</td>\n",
       "      <td>0.9060</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1992</th>\n",
       "      <td>9010022</td>\n",
       "      <td>Norwich Free Academy District</td>\n",
       "      <td>Free/Reduced Lunch</td>\n",
       "      <td>Free Meal Eligible</td>\n",
       "      <td>846</td>\n",
       "      <td>0.8664</td>\n",
       "      <td>782.0</td>\n",
       "      <td>0.8547</td>\n",
       "      <td>966.0</td>\n",
       "      <td>0.9127</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1993</th>\n",
       "      <td>9010022</td>\n",
       "      <td>Norwich Free Academy District</td>\n",
       "      <td>Free/Reduced Lunch</td>\n",
       "      <td>Reduced Price Meal Eligible</td>\n",
       "      <td>188</td>\n",
       "      <td>0.9115</td>\n",
       "      <td>150.0</td>\n",
       "      <td>0.9038</td>\n",
       "      <td>198.0</td>\n",
       "      <td>0.9461</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1994</th>\n",
       "      <td>9010022</td>\n",
       "      <td>Norwich Free Academy District</td>\n",
       "      <td>Free/Reduced Lunch</td>\n",
       "      <td>Free/Reduced Price Meal Eligible</td>\n",
       "      <td>1034</td>\n",
       "      <td>0.8746</td>\n",
       "      <td>932.0</td>\n",
       "      <td>0.8626</td>\n",
       "      <td>1164.0</td>\n",
       "      <td>0.9185</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>9010022</td>\n",
       "      <td>Norwich Free Academy District</td>\n",
       "      <td>English Learners</td>\n",
       "      <td>English Learners</td>\n",
       "      <td>196</td>\n",
       "      <td>0.8580</td>\n",
       "      <td>183.0</td>\n",
       "      <td>0.8183</td>\n",
       "      <td>223.0</td>\n",
       "      <td>0.9214</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996</th>\n",
       "      <td>9010022</td>\n",
       "      <td>Norwich Free Academy District</td>\n",
       "      <td>Race/Ethnicity</td>\n",
       "      <td>All other races</td>\n",
       "      <td>267</td>\n",
       "      <td>0.9055</td>\n",
       "      <td>285.0</td>\n",
       "      <td>0.9221</td>\n",
       "      <td>355.0</td>\n",
       "      <td>0.9320</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997</th>\n",
       "      <td>9010022</td>\n",
       "      <td>Norwich Free Academy District</td>\n",
       "      <td>Race/Ethnicity</td>\n",
       "      <td>Black or African American</td>\n",
       "      <td>298</td>\n",
       "      <td>0.8909</td>\n",
       "      <td>288.0</td>\n",
       "      <td>0.8904</td>\n",
       "      <td>336.0</td>\n",
       "      <td>0.9343</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998</th>\n",
       "      <td>9010022</td>\n",
       "      <td>Norwich Free Academy District</td>\n",
       "      <td>Race/Ethnicity</td>\n",
       "      <td>Hispanic/Latino of any race</td>\n",
       "      <td>494</td>\n",
       "      <td>0.8622</td>\n",
       "      <td>458.0</td>\n",
       "      <td>0.8359</td>\n",
       "      <td>390.0</td>\n",
       "      <td>0.9119</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999</th>\n",
       "      <td>9010022</td>\n",
       "      <td>Norwich Free Academy District</td>\n",
       "      <td>Race/Ethnicity</td>\n",
       "      <td>White</td>\n",
       "      <td>1009</td>\n",
       "      <td>0.9070</td>\n",
       "      <td>1048.0</td>\n",
       "      <td>0.9241</td>\n",
       "      <td>1176.0</td>\n",
       "      <td>0.9376</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000</th>\n",
       "      <td>9010022</td>\n",
       "      <td>Norwich Free Academy District</td>\n",
       "      <td>High Needs</td>\n",
       "      <td>Students Without High Needs</td>\n",
       "      <td>858</td>\n",
       "      <td>0.9209</td>\n",
       "      <td>994.0</td>\n",
       "      <td>0.9401</td>\n",
       "      <td>991.0</td>\n",
       "      <td>0.9475</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001</th>\n",
       "      <td>9010022</td>\n",
       "      <td>Norwich Free Academy District</td>\n",
       "      <td>High Needs</td>\n",
       "      <td>Students With High Needs</td>\n",
       "      <td>1156</td>\n",
       "      <td>0.8742</td>\n",
       "      <td>1062.0</td>\n",
       "      <td>0.8628</td>\n",
       "      <td>1266.0</td>\n",
       "      <td>0.9195</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003</th>\n",
       "      <td>9020022</td>\n",
       "      <td>The Gilbert School District</td>\n",
       "      <td>Students With Disabilities</td>\n",
       "      <td>Students With Disabilities</td>\n",
       "      <td>65</td>\n",
       "      <td>0.8670</td>\n",
       "      <td>71.0</td>\n",
       "      <td>0.9213</td>\n",
       "      <td>73.0</td>\n",
       "      <td>0.9208</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004</th>\n",
       "      <td>9020022</td>\n",
       "      <td>The Gilbert School District</td>\n",
       "      <td>Free/Reduced Lunch</td>\n",
       "      <td>Free Meal Eligible</td>\n",
       "      <td>154</td>\n",
       "      <td>0.8646</td>\n",
       "      <td>166.0</td>\n",
       "      <td>0.9253</td>\n",
       "      <td>147.0</td>\n",
       "      <td>0.9220</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005</th>\n",
       "      <td>9020022</td>\n",
       "      <td>The Gilbert School District</td>\n",
       "      <td>Free/Reduced Lunch</td>\n",
       "      <td>Reduced Price Meal Eligible</td>\n",
       "      <td>44</td>\n",
       "      <td>0.8772</td>\n",
       "      <td>39.0</td>\n",
       "      <td>0.9271</td>\n",
       "      <td>49.0</td>\n",
       "      <td>0.9330</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006</th>\n",
       "      <td>9020022</td>\n",
       "      <td>The Gilbert School District</td>\n",
       "      <td>Free/Reduced Lunch</td>\n",
       "      <td>Free/Reduced Price Meal Eligible</td>\n",
       "      <td>198</td>\n",
       "      <td>0.8674</td>\n",
       "      <td>205.0</td>\n",
       "      <td>0.9256</td>\n",
       "      <td>196.0</td>\n",
       "      <td>0.9248</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>9020022</td>\n",
       "      <td>The Gilbert School District</td>\n",
       "      <td>Race/Ethnicity</td>\n",
       "      <td>Hispanic/Latino of any race</td>\n",
       "      <td>87</td>\n",
       "      <td>0.8736</td>\n",
       "      <td>73.0</td>\n",
       "      <td>0.9310</td>\n",
       "      <td>78.0</td>\n",
       "      <td>0.9260</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>9020022</td>\n",
       "      <td>The Gilbert School District</td>\n",
       "      <td>Race/Ethnicity</td>\n",
       "      <td>White</td>\n",
       "      <td>277</td>\n",
       "      <td>0.8936</td>\n",
       "      <td>313.0</td>\n",
       "      <td>0.9517</td>\n",
       "      <td>323.0</td>\n",
       "      <td>0.9412</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>9020022</td>\n",
       "      <td>The Gilbert School District</td>\n",
       "      <td>High Needs</td>\n",
       "      <td>Students Without High Needs</td>\n",
       "      <td>189</td>\n",
       "      <td>0.9157</td>\n",
       "      <td>200.0</td>\n",
       "      <td>0.9679</td>\n",
       "      <td>243.0</td>\n",
       "      <td>0.9517</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>9020022</td>\n",
       "      <td>The Gilbert School District</td>\n",
       "      <td>High Needs</td>\n",
       "      <td>Students With High Needs</td>\n",
       "      <td>228</td>\n",
       "      <td>0.8696</td>\n",
       "      <td>238.0</td>\n",
       "      <td>0.9281</td>\n",
       "      <td>227.0</td>\n",
       "      <td>0.9259</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>9030022</td>\n",
       "      <td>The Woodstock Academy District</td>\n",
       "      <td>Students With Disabilities</td>\n",
       "      <td>Students With Disabilities</td>\n",
       "      <td>72</td>\n",
       "      <td>0.9176</td>\n",
       "      <td>69.0</td>\n",
       "      <td>0.9287</td>\n",
       "      <td>63.0</td>\n",
       "      <td>0.9058</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>9030022</td>\n",
       "      <td>The Woodstock Academy District</td>\n",
       "      <td>Race/Ethnicity</td>\n",
       "      <td>All other races</td>\n",
       "      <td>86</td>\n",
       "      <td>0.9393</td>\n",
       "      <td>91.0</td>\n",
       "      <td>0.9650</td>\n",
       "      <td>126.0</td>\n",
       "      <td>0.9739</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>9030022</td>\n",
       "      <td>The Woodstock Academy District</td>\n",
       "      <td>Race/Ethnicity</td>\n",
       "      <td>White</td>\n",
       "      <td>901</td>\n",
       "      <td>0.9288</td>\n",
       "      <td>899.0</td>\n",
       "      <td>0.9587</td>\n",
       "      <td>925.0</td>\n",
       "      <td>0.9437</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>9030022</td>\n",
       "      <td>The Woodstock Academy District</td>\n",
       "      <td>High Needs</td>\n",
       "      <td>Students Without High Needs</td>\n",
       "      <td>949</td>\n",
       "      <td>0.9318</td>\n",
       "      <td>953.0</td>\n",
       "      <td>0.9617</td>\n",
       "      <td>1009.0</td>\n",
       "      <td>0.9516</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <td>9030022</td>\n",
       "      <td>The Woodstock Academy District</td>\n",
       "      <td>High Needs</td>\n",
       "      <td>Students With High Needs</td>\n",
       "      <td>93</td>\n",
       "      <td>0.9041</td>\n",
       "      <td>79.0</td>\n",
       "      <td>0.9291</td>\n",
       "      <td>104.0</td>\n",
       "      <td>0.9034</td>\n",
       "      <td>Jun-22</td>\n",
       "      <td>07/22/2022</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1742 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     District code                                      District name  \\\n",
       "1          00000CT                                        Connecticut   \n",
       "2          00000CT                                        Connecticut   \n",
       "3          00000CT                                        Connecticut   \n",
       "4          00000CT                                        Connecticut   \n",
       "5          00000CT                                        Connecticut   \n",
       "6          00000CT                                        Connecticut   \n",
       "7          00000CT                                        Connecticut   \n",
       "8          00000CT                                        Connecticut   \n",
       "9          00000CT                                        Connecticut   \n",
       "10         00000CT                                        Connecticut   \n",
       "11         00000CT                                        Connecticut   \n",
       "12         00000CT                                        Connecticut   \n",
       "15           10011                            Andover School District   \n",
       "16           10011                            Andover School District   \n",
       "17           10011                            Andover School District   \n",
       "18           10011                            Andover School District   \n",
       "20           20011                            Ansonia School District   \n",
       "21           20011                            Ansonia School District   \n",
       "22           20011                            Ansonia School District   \n",
       "23           20011                            Ansonia School District   \n",
       "24           20011                            Ansonia School District   \n",
       "25           20011                            Ansonia School District   \n",
       "26           20011                            Ansonia School District   \n",
       "27           20011                            Ansonia School District   \n",
       "28           20011                            Ansonia School District   \n",
       "29           20011                            Ansonia School District   \n",
       "30           20011                            Ansonia School District   \n",
       "32           30011                            Ashford School District   \n",
       "35           30011                            Ashford School District   \n",
       "36           30011                            Ashford School District   \n",
       "...            ...                                                ...   \n",
       "1984       9000016  Connecticut Technical Education and Career System   \n",
       "1985       9000016  Connecticut Technical Education and Career System   \n",
       "1986       9000016  Connecticut Technical Education and Career System   \n",
       "1987       9000016  Connecticut Technical Education and Career System   \n",
       "1988       9000016  Connecticut Technical Education and Career System   \n",
       "1989       9000016  Connecticut Technical Education and Career System   \n",
       "1991       9010022                      Norwich Free Academy District   \n",
       "1992       9010022                      Norwich Free Academy District   \n",
       "1993       9010022                      Norwich Free Academy District   \n",
       "1994       9010022                      Norwich Free Academy District   \n",
       "1995       9010022                      Norwich Free Academy District   \n",
       "1996       9010022                      Norwich Free Academy District   \n",
       "1997       9010022                      Norwich Free Academy District   \n",
       "1998       9010022                      Norwich Free Academy District   \n",
       "1999       9010022                      Norwich Free Academy District   \n",
       "2000       9010022                      Norwich Free Academy District   \n",
       "2001       9010022                      Norwich Free Academy District   \n",
       "2003       9020022                        The Gilbert School District   \n",
       "2004       9020022                        The Gilbert School District   \n",
       "2005       9020022                        The Gilbert School District   \n",
       "2006       9020022                        The Gilbert School District   \n",
       "2007       9020022                        The Gilbert School District   \n",
       "2008       9020022                        The Gilbert School District   \n",
       "2009       9020022                        The Gilbert School District   \n",
       "2010       9020022                        The Gilbert School District   \n",
       "2012       9030022                     The Woodstock Academy District   \n",
       "2015       9030022                     The Woodstock Academy District   \n",
       "2016       9030022                     The Woodstock Academy District   \n",
       "2017       9030022                     The Woodstock Academy District   \n",
       "2018       9030022                     The Woodstock Academy District   \n",
       "\n",
       "                        Category                       Student group  \\\n",
       "1                   Homelessness  Students Experiencing Homelessness   \n",
       "2     Students With Disabilities          Students With Disabilities   \n",
       "3             Free/Reduced Lunch                  Free Meal Eligible   \n",
       "4             Free/Reduced Lunch         Reduced Price Meal Eligible   \n",
       "5             Free/Reduced Lunch    Free/Reduced Price Meal Eligible   \n",
       "6               English Learners                    English Learners   \n",
       "7                 Race/Ethnicity                     All other races   \n",
       "8                 Race/Ethnicity           Black or African American   \n",
       "9                 Race/Ethnicity         Hispanic/Latino of any race   \n",
       "10                Race/Ethnicity                               White   \n",
       "11                    High Needs         Students Without High Needs   \n",
       "12                    High Needs            Students With High Needs   \n",
       "15            Free/Reduced Lunch    Free/Reduced Price Meal Eligible   \n",
       "16                Race/Ethnicity                               White   \n",
       "17                    High Needs         Students Without High Needs   \n",
       "18                    High Needs            Students With High Needs   \n",
       "20    Students With Disabilities          Students With Disabilities   \n",
       "21            Free/Reduced Lunch                  Free Meal Eligible   \n",
       "22            Free/Reduced Lunch         Reduced Price Meal Eligible   \n",
       "23            Free/Reduced Lunch    Free/Reduced Price Meal Eligible   \n",
       "24              English Learners                    English Learners   \n",
       "25                Race/Ethnicity                     All other races   \n",
       "26                Race/Ethnicity           Black or African American   \n",
       "27                Race/Ethnicity         Hispanic/Latino of any race   \n",
       "28                Race/Ethnicity                               White   \n",
       "29                    High Needs         Students Without High Needs   \n",
       "30                    High Needs            Students With High Needs   \n",
       "32    Students With Disabilities          Students With Disabilities   \n",
       "35            Free/Reduced Lunch    Free/Reduced Price Meal Eligible   \n",
       "36                Race/Ethnicity         Hispanic/Latino of any race   \n",
       "...                          ...                                 ...   \n",
       "1984              Race/Ethnicity                     All other races   \n",
       "1985              Race/Ethnicity           Black or African American   \n",
       "1986              Race/Ethnicity         Hispanic/Latino of any race   \n",
       "1987              Race/Ethnicity                               White   \n",
       "1988                  High Needs         Students Without High Needs   \n",
       "1989                  High Needs            Students With High Needs   \n",
       "1991  Students With Disabilities          Students With Disabilities   \n",
       "1992          Free/Reduced Lunch                  Free Meal Eligible   \n",
       "1993          Free/Reduced Lunch         Reduced Price Meal Eligible   \n",
       "1994          Free/Reduced Lunch    Free/Reduced Price Meal Eligible   \n",
       "1995            English Learners                    English Learners   \n",
       "1996              Race/Ethnicity                     All other races   \n",
       "1997              Race/Ethnicity           Black or African American   \n",
       "1998              Race/Ethnicity         Hispanic/Latino of any race   \n",
       "1999              Race/Ethnicity                               White   \n",
       "2000                  High Needs         Students Without High Needs   \n",
       "2001                  High Needs            Students With High Needs   \n",
       "2003  Students With Disabilities          Students With Disabilities   \n",
       "2004          Free/Reduced Lunch                  Free Meal Eligible   \n",
       "2005          Free/Reduced Lunch         Reduced Price Meal Eligible   \n",
       "2006          Free/Reduced Lunch    Free/Reduced Price Meal Eligible   \n",
       "2007              Race/Ethnicity         Hispanic/Latino of any race   \n",
       "2008              Race/Ethnicity                               White   \n",
       "2009                  High Needs         Students Without High Needs   \n",
       "2010                  High Needs            Students With High Needs   \n",
       "2012  Students With Disabilities          Students With Disabilities   \n",
       "2015              Race/Ethnicity                     All other races   \n",
       "2016              Race/Ethnicity                               White   \n",
       "2017                  High Needs         Students Without High Needs   \n",
       "2018                  High Needs            Students With High Needs   \n",
       "\n",
       "      2021-2022 student count - year to date  \\\n",
       "1                                       1814   \n",
       "2                                      78417   \n",
       "3                                     168984   \n",
       "4                                      29905   \n",
       "5                                     198889   \n",
       "6                                      43571   \n",
       "7                                      48700   \n",
       "8                                      63099   \n",
       "9                                     146298   \n",
       "10                                    242188   \n",
       "11                                    241106   \n",
       "12                                    248239   \n",
       "15                                        30   \n",
       "16                                       134   \n",
       "17                                       113   \n",
       "18                                        48   \n",
       "20                                       369   \n",
       "21                                      1192   \n",
       "22                                       225   \n",
       "23                                      1417   \n",
       "24                                       122   \n",
       "25                                       149   \n",
       "26                                       434   \n",
       "27                                       987   \n",
       "28                                       569   \n",
       "29                                       528   \n",
       "30                                      1545   \n",
       "32                                        46   \n",
       "35                                       113   \n",
       "36                                        31   \n",
       "...                                      ...   \n",
       "1984                                     703   \n",
       "1985                                    1308   \n",
       "1986                                    4674   \n",
       "1987                                    4453   \n",
       "1988                                    5001   \n",
       "1989                                    6130   \n",
       "1991                                     256   \n",
       "1992                                     846   \n",
       "1993                                     188   \n",
       "1994                                    1034   \n",
       "1995                                     196   \n",
       "1996                                     267   \n",
       "1997                                     298   \n",
       "1998                                     494   \n",
       "1999                                    1009   \n",
       "2000                                     858   \n",
       "2001                                    1156   \n",
       "2003                                      65   \n",
       "2004                                     154   \n",
       "2005                                      44   \n",
       "2006                                     198   \n",
       "2007                                      87   \n",
       "2008                                     277   \n",
       "2009                                     189   \n",
       "2010                                     228   \n",
       "2012                                      72   \n",
       "2015                                      86   \n",
       "2016                                     901   \n",
       "2017                                     949   \n",
       "2018                                      93   \n",
       "\n",
       "      2021-2022 attendance rate - year to date  2020-2021 student count  \\\n",
       "1                                       0.8348                   1735.0   \n",
       "2                                       0.8899                  76487.0   \n",
       "3                                       0.8851                 176225.0   \n",
       "4                                       0.9184                  30886.0   \n",
       "5                                       0.8901                 207111.0   \n",
       "6                                       0.8976                  40619.0   \n",
       "7                                       0.9314                  47339.0   \n",
       "8                                       0.8941                  62267.0   \n",
       "9                                       0.8935                 138260.0   \n",
       "10                                      0.9338                 248226.0   \n",
       "11                                      0.9398                 236395.0   \n",
       "12                                      0.8954                 251220.0   \n",
       "15                                      0.9274                     31.0   \n",
       "16                                      0.9365                    115.0   \n",
       "17                                      0.9410                    100.0   \n",
       "18                                      0.9328                     44.0   \n",
       "20                                      0.8897                    394.0   \n",
       "21                                      0.8893                   1217.0   \n",
       "22                                      0.9282                    213.0   \n",
       "23                                      0.8953                   1430.0   \n",
       "24                                      0.9180                    119.0   \n",
       "25                                      0.9191                    166.0   \n",
       "26                                      0.8987                    421.0   \n",
       "27                                      0.8994                    946.0   \n",
       "28                                      0.9136                    620.0   \n",
       "29                                      0.9287                    551.0   \n",
       "30                                      0.8968                   1563.0   \n",
       "32                                      0.9253                     47.0   \n",
       "35                                      0.9168                    126.0   \n",
       "36                                      0.9133                     27.0   \n",
       "...                                        ...                      ...   \n",
       "1984                                    0.8954                    624.0   \n",
       "1985                                    0.8906                   1298.0   \n",
       "1986                                    0.8928                   4551.0   \n",
       "1987                                    0.9074                   4617.0   \n",
       "1988                                    0.9038                   4150.0   \n",
       "1989                                    0.8943                   6934.0   \n",
       "1991                                    0.8690                    245.0   \n",
       "1992                                    0.8664                    782.0   \n",
       "1993                                    0.9115                    150.0   \n",
       "1994                                    0.8746                    932.0   \n",
       "1995                                    0.8580                    183.0   \n",
       "1996                                    0.9055                    285.0   \n",
       "1997                                    0.8909                    288.0   \n",
       "1998                                    0.8622                    458.0   \n",
       "1999                                    0.9070                   1048.0   \n",
       "2000                                    0.9209                    994.0   \n",
       "2001                                    0.8742                   1062.0   \n",
       "2003                                    0.8670                     71.0   \n",
       "2004                                    0.8646                    166.0   \n",
       "2005                                    0.8772                     39.0   \n",
       "2006                                    0.8674                    205.0   \n",
       "2007                                    0.8736                     73.0   \n",
       "2008                                    0.8936                    313.0   \n",
       "2009                                    0.9157                    200.0   \n",
       "2010                                    0.8696                    238.0   \n",
       "2012                                    0.9176                     69.0   \n",
       "2015                                    0.9393                     91.0   \n",
       "2016                                    0.9288                    899.0   \n",
       "2017                                    0.9318                    953.0   \n",
       "2018                                    0.9041                     79.0   \n",
       "\n",
       "      2020-2021 attendance rate  2019-2020 student count  \\\n",
       "1                        0.8155                   3916.0   \n",
       "2                        0.8946                  80365.0   \n",
       "3                        0.8861                 193706.0   \n",
       "4                        0.9299                  27507.0   \n",
       "5                        0.8927                 221213.0   \n",
       "6                        0.8948                  45413.0   \n",
       "7                        0.9483                  47260.0   \n",
       "8                        0.8931                  64200.0   \n",
       "9                        0.8975                 136953.0   \n",
       "10                       0.9523                 259933.0   \n",
       "11                       0.9616                 241610.0   \n",
       "12                       0.8996                 266736.0   \n",
       "15                       0.9414                     37.0   \n",
       "16                       0.9699                    128.0   \n",
       "17                       0.9752                    108.0   \n",
       "18                       0.9513                     50.0   \n",
       "20                       0.8692                    411.0   \n",
       "21                       0.8657                   1312.0   \n",
       "22                       0.9234                    147.0   \n",
       "23                       0.8743                   1459.0   \n",
       "24                       0.8951                    129.0   \n",
       "25                       0.9105                    170.0   \n",
       "26                       0.8693                    434.0   \n",
       "27                       0.8798                    923.0   \n",
       "28                       0.9217                    658.0   \n",
       "29                       0.9389                    587.0   \n",
       "30                       0.8764                   1598.0   \n",
       "32                       0.9573                     56.0   \n",
       "35                       0.9312                    130.0   \n",
       "36                       0.9408                     22.0   \n",
       "...                         ...                      ...   \n",
       "1984                     0.9307                    621.0   \n",
       "1985                     0.9192                   1267.0   \n",
       "1986                     0.9246                   4383.0   \n",
       "1987                     0.9432                   4537.0   \n",
       "1988                     0.9518                   4056.0   \n",
       "1989                     0.9202                   6752.0   \n",
       "1991                     0.8339                    242.0   \n",
       "1992                     0.8547                    966.0   \n",
       "1993                     0.9038                    198.0   \n",
       "1994                     0.8626                   1164.0   \n",
       "1995                     0.8183                    223.0   \n",
       "1996                     0.9221                    355.0   \n",
       "1997                     0.8904                    336.0   \n",
       "1998                     0.8359                    390.0   \n",
       "1999                     0.9241                   1176.0   \n",
       "2000                     0.9401                    991.0   \n",
       "2001                     0.8628                   1266.0   \n",
       "2003                     0.9213                     73.0   \n",
       "2004                     0.9253                    147.0   \n",
       "2005                     0.9271                     49.0   \n",
       "2006                     0.9256                    196.0   \n",
       "2007                     0.9310                     78.0   \n",
       "2008                     0.9517                    323.0   \n",
       "2009                     0.9679                    243.0   \n",
       "2010                     0.9281                    227.0   \n",
       "2012                     0.9287                     63.0   \n",
       "2015                     0.9650                    126.0   \n",
       "2016                     0.9587                    925.0   \n",
       "2017                     0.9617                   1009.0   \n",
       "2018                     0.9291                    104.0   \n",
       "\n",
       "      2019-2020 attendance rate Reporting period Date update  \n",
       "1                        0.8884           Jun-22  07/22/2022  \n",
       "2                        0.9277           Jun-22  07/22/2022  \n",
       "3                        0.9314           Jun-22  07/22/2022  \n",
       "4                        0.9518           Jun-22  07/22/2022  \n",
       "5                        0.9340           Jun-22  07/22/2022  \n",
       "6                        0.9389           Jun-22  07/22/2022  \n",
       "7                        0.9559           Jun-22  07/22/2022  \n",
       "8                        0.9401           Jun-22  07/22/2022  \n",
       "9                        0.9362           Jun-22  07/22/2022  \n",
       "10                       0.9543           Jun-22  07/22/2022  \n",
       "11                       0.9606           Jun-22  07/22/2022  \n",
       "12                       0.9361           Jun-22  07/22/2022  \n",
       "15                       0.9401           Jun-22  07/22/2022  \n",
       "16                       0.9479           Jun-22  07/22/2022  \n",
       "17                       0.9552           Jun-22  07/22/2022  \n",
       "18                       0.9389           Jun-22  07/22/2022  \n",
       "20                       0.9337           Jun-22  07/22/2022  \n",
       "21                       0.9312           Jun-22  07/22/2022  \n",
       "22                       0.9563           Jun-22  07/22/2022  \n",
       "23                       0.9338           Jun-22  07/22/2022  \n",
       "24                       0.9506           Jun-22  07/22/2022  \n",
       "25                       0.9451           Jun-22  07/22/2022  \n",
       "26                       0.9414           Jun-22  07/22/2022  \n",
       "27                       0.9366           Jun-22  07/22/2022  \n",
       "28                       0.9468           Jun-22  07/22/2022  \n",
       "29                       0.9568           Jun-22  07/22/2022  \n",
       "30                       0.9355           Jun-22  07/22/2022  \n",
       "32                       0.9468           Jun-22  07/22/2022  \n",
       "35                       0.9477           Jun-22  07/22/2022  \n",
       "36                       0.9353           Jun-22  07/22/2022  \n",
       "...                         ...              ...         ...  \n",
       "1984                     0.9466           Jun-22  07/22/2022  \n",
       "1985                     0.9494           Jun-22  07/22/2022  \n",
       "1986                     0.9470           Jun-22  07/22/2022  \n",
       "1987                     0.9489           Jun-22  07/22/2022  \n",
       "1988                     0.9553           Jun-22  07/22/2022  \n",
       "1989                     0.9437           Jun-22  07/22/2022  \n",
       "1991                     0.9060           Jun-22  07/22/2022  \n",
       "1992                     0.9127           Jun-22  07/22/2022  \n",
       "1993                     0.9461           Jun-22  07/22/2022  \n",
       "1994                     0.9185           Jun-22  07/22/2022  \n",
       "1995                     0.9214           Jun-22  07/22/2022  \n",
       "1996                     0.9320           Jun-22  07/22/2022  \n",
       "1997                     0.9343           Jun-22  07/22/2022  \n",
       "1998                     0.9119           Jun-22  07/22/2022  \n",
       "1999                     0.9376           Jun-22  07/22/2022  \n",
       "2000                     0.9475           Jun-22  07/22/2022  \n",
       "2001                     0.9195           Jun-22  07/22/2022  \n",
       "2003                     0.9208           Jun-22  07/22/2022  \n",
       "2004                     0.9220           Jun-22  07/22/2022  \n",
       "2005                     0.9330           Jun-22  07/22/2022  \n",
       "2006                     0.9248           Jun-22  07/22/2022  \n",
       "2007                     0.9260           Jun-22  07/22/2022  \n",
       "2008                     0.9412           Jun-22  07/22/2022  \n",
       "2009                     0.9517           Jun-22  07/22/2022  \n",
       "2010                     0.9259           Jun-22  07/22/2022  \n",
       "2012                     0.9058           Jun-22  07/22/2022  \n",
       "2015                     0.9739           Jun-22  07/22/2022  \n",
       "2016                     0.9437           Jun-22  07/22/2022  \n",
       "2017                     0.9516           Jun-22  07/22/2022  \n",
       "2018                     0.9034           Jun-22  07/22/2022  \n",
       "\n",
       "[1742 rows x 12 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#数据清洗\n",
    "rows_with_na = data.isna().any(axis=1)  \n",
    "data1 = data.loc[~rows_with_na]\n",
    "data1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt  \n",
    "  \n",
    "Homelessness=data1[data1['Category']=='Homelessness']\n",
    "Students_With_Disabilities=data1[data1['Category']=='Students With Disabilities']\n",
    "Free_Reduced_Lunch=data1[data1['Category']=='Free/Reduced Lunch']\n",
    "Race_Ethnicity=data1[data1['Category']=='Race/Ethnicity']\n",
    "High_Needs=data1[data1['Category']=='High Needs']\n",
    "English_Learners=data1[data1['Category']=='English Learners']\n",
    "\n",
    "attendance_rates_2021_2022 = Homelessness['2021-2022 attendance rate - year to date']  \n",
    "attendance_rates_2020_2021 = Homelessness['2020-2021 attendance rate']  \n",
    "attendance_rates_2019_2020 = Homelessness['2019-2020 attendance rate']  \n",
    "  \n",
    "# 绘制直方图，每个年份使用不同的颜色  \n",
    "plt.hist(attendance_rates_2021_2022, bins=10, alpha=0.5, label='2021-2022', color='b')  \n",
    "plt.hist(attendance_rates_2020_2021, bins=10, alpha=0.5, label='2020-2021', color='g')  \n",
    "plt.hist(attendance_rates_2019_2020, bins=10, alpha=0.5, label='2019-2020', color='r')  \n",
    "  \n",
    "# 添加图例  \n",
    "plt.legend()  \n",
    "  \n",
    "# 添加标题和轴标签  \n",
    "plt.title('Attendance Rate Histograms Over Years')  \n",
    "plt.xlabel('Attendance Rate')  \n",
    "plt.ylabel('Frequency')  \n",
    "  \n",
    "# 显示图表  \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt  \n",
    "\n",
    "a = Students_With_Disabilities['2019-2020 attendance rate'].tolist()  \n",
    "b = Students_With_Disabilities['2020-2021 attendance rate'].tolist()  \n",
    "c = Students_With_Disabilities['2021-2022 attendance rate - year to date'].tolist()  \n",
    "  \n",
    "plt.figure(figsize=(6, 4), dpi=150)  \n",
    "  \n",
    "# 创建箱线图  \n",
    "plt.boxplot([a, b, c], patch_artist=True, labels=['2019-2020', '2020-2021', '2021-2022'])  \n",
    "  \n",
    "# 添加标题和轴标签  \n",
    "plt.title('Attendance Rates Over Years')  \n",
    "plt.ylabel('Attendance Rate')  \n",
    "  \n",
    "# 自定义箱线图的颜色  \n",
    "colors = ['lightblue', 'lightgreen', 'lightcoral']  \n",
    "for patch, color in zip(plt.gca().artists, colors):  \n",
    "    patch.set_facecolor(color)  \n",
    "  \n",
    "# 显示网格线  \n",
    "plt.grid(axis='y', alpha=0.75, linestyle='--', which='major')  \n",
    "  \n",
    "# 显示图形  \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "a=np.mean(list(Homelessness['2021-2022 student count - year to date']))\n",
    "b=np.mean(list(Students_With_Disabilities['2021-2022 student count - year to date']))\n",
    "c=np.mean(list(Free_Reduced_Lunch['2021-2022 student count - year to date']))\n",
    "d=np.mean(list(Race_Ethnicity['2021-2022 student count - year to date']))\n",
    "e=np.mean(list(High_Needs['2021-2022 student count - year to date']))\n",
    "f=np.mean(list(English_Learners['2021-2022 student count - year to date']))\n",
    "total = a + b + c + d + e + f  \n",
    "  \n",
    "# 计算每个类别的比例  \n",
    "fractions = [a/total, b/total, c/total, d/total, e/total, f/total]  \n",
    "  \n",
    "# 创建标签  \n",
    "labels = ['Homelessness', 'Students_With_Disabilities', 'Free_Reduced_Lunch', 'Race_Ethnicity', 'High_Needs', 'English_Learners']  \n",
    "  \n",
    "# 绘制饼图  \n",
    "plt.figure(figsize=(9,9))  # 设置图形大小  \n",
    "plt.pie(fractions, labels=labels, autopct='%1.1f%%', startangle=90)  # autopct格式化显示百分比，startangle设置起始角度  \n",
    "plt.axis('equal')  # 确保饼图是圆形的  \n",
    "plt.title('Average Student Counts by Category (Percentage)')  # 设置标题  \n",
    "plt.subplots_adjust(top=0.9)\n",
    "plt.show()  # 显示图形"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt  \n",
    "  \n",
    "# 假设data1是你的DataFrame，且已经包含了'2021-2022 student count - year to date'和'2021-2022 attendance rate - year to date'这两列  \n",
    "x = data1['2021-2022 student count - year to date']  \n",
    "y = data1['2021-2022 attendance rate - year to date']  \n",
    "  \n",
    "plt.figure(figsize=(10, 6))  # 设置图形大小  \n",
    "plt.scatter(x, y, alpha=0.7)  # alpha参数用于设置点的透明度  \n",
    "plt.xlabel('2021-2022 Student Count')  # 设置x轴标签  \n",
    "plt.ylabel('2021-2022 Attendance Rate')  # 设置y轴标签  \n",
    "plt.title('Student Count vs Attendance Rate in 2021-2022')  # 设置标题  \n",
    "plt.grid(True)  # 显示网格线  \n",
    "  \n",
    "# 设置x轴取值范围在0到50000  \n",
    "plt.xlim(0, 2000)  \n",
    "  \n",
    "plt.show()  # 显示图形  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
